Returns a dense tensor as input layer based on given
At the first layer of the model, this column oriented data should be converted
to a single tensor.
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A mapping from key to tensors. Feature columns look up via
these keys. For example
An iterable containing the FeatureColumns to use as
inputs to your model. All items should be instances of classes derived from
a dense column such as
A list of collection names to which the Variable
will be added. Note that, variables will also be added to collections
A tensor which represents input layer of a model. Its shape is
(batch_size, first_layer_dimension) and its dtype is
first_layer_dimension is determined based on given
ValueError: if an item in
feature_columns is not a dense column.
Other feature column constructors:
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